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Subquadratic Kronecker Regression with Applications to Tensor
  Decomposition
v1v2 (latest)

Subquadratic Kronecker Regression with Applications to Tensor Decomposition

Neural Information Processing Systems (NeurIPS), 2022
11 September 2022
Matthew Fahrbach
Thomas Fu
Mehrdad Ghadiri
ArXiv (abs)PDFHTMLGithub

Papers citing "Subquadratic Kronecker Regression with Applications to Tensor Decomposition"

6 / 6 papers shown
A Tight Lower Bound for the Approximation Guarantee of Higher-Order Singular Value Decomposition
A Tight Lower Bound for the Approximation Guarantee of Higher-Order Singular Value Decomposition
Matthew Fahrbach
Mehrdad Ghadiri
75
0
0
08 Aug 2025
Improving the Bit Complexity of Communication for Distributed Convex
  Optimization
Improving the Bit Complexity of Communication for Distributed Convex Optimization
Mehrdad Ghadiri
Yin Tat Lee
Swati Padmanabhan
W. Swartworth
David P. Woodruff
Guanghao Ye
202
8
0
28 Mar 2024
Approximately Optimal Core Shapes for Tensor Decompositions
Approximately Optimal Core Shapes for Tensor DecompositionsInternational Conference on Machine Learning (ICML), 2023
Mehrdad Ghadiri
Matthew Fahrbach
Gang Fu
Vahab Mirrokni
230
13
0
08 Feb 2023
A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee
A Nearly-Optimal Bound for Fast Regression with ℓ∞\ell_\inftyℓ∞​ GuaranteeInternational Conference on Machine Learning (ICML), 2023
Zhao Song
Mingquan Ye
Junze Yin
Licheng Zhang
317
20
0
01 Feb 2023
Dynamic Tensor Product Regression
Dynamic Tensor Product RegressionNeural Information Processing Systems (NeurIPS), 2022
Aravind Reddy
Zhao Song
Licheng Zhang
326
22
0
08 Oct 2022
Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks
Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks
Osman Asif Malik
V. Bharadwaj
Riley Murray
198
5
0
07 Oct 2022
1
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